Home   >   CSC-OpenAccess Library   >   Image Science   >  International Journal of Image Processing (IJIP)
International Journal of Image Processing (IJIP)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 1985-2304
Published - Bi-Monthly   |   Established - 2007   |   Year of Publication - 2024

SUBMISSION
October 31, 2024

NOTIFICATION
November 30, 2024

PUBLICATION
December 31, 2024

    
HOME   About IJIP   Editorial Board   Call For Papers/Editors   Submission Guidelines   Citation Report   Issues Archive   Subscribe IJIP
VIDEO PRESENTATIONS
Visit Video Section to see author video presentations on their publications.
 
 
RESEARCH CENTERS, INSTITUTES & UNIVERSITIES
 
SEE COMPLETE LIST OF PUBLICATIONS
 

IJIP CITATION IMPACT
6.826

Refer to In-Process Citation Report for IJIP for complete details.
 
LIST OF JOURNALS
Complete list of Open Access journals with free access its publications.
 
For Inquiries & Fast Response cscpress@cscjournals.org

CITATION REPORT FOR IJIP

Below calculations are based on in-process citations that are extracted through Google Scholar.


Total Citations = 2396
Self Citations = 0
Total Publications = 351


Citation Impact
(Total Citations - Self Citations) / Total Publications

Citation Impact
(2396 - 0) / 351 = 6.826

 
SR
M-CODE
CITATION
1
Shi, J., Yan, Q., Xu, L., & Jia, J. Hierarchical Image Saliency Detection on Extended CSSD.
2
Panchal, T., Patel, H., & Panchal, A. (2016). License Plate Detection Using Harris Corner and Character Segmentation by Integrated Approach from an Image. Procedia Computer Science, 79, 419-425.
3
Kekre, H. B., Sarode, T., & Halarnkar, P. N. (2016). Partial Image Scrambling Using Walsh Sequency in Sinusoidal Wavelet Transform Domain. In Intelligent Systems Technologies and Applications (pp. 471-484). Springer International Publishing.
4
Savitha, S. K., & Naveen, N. C. Study for Assessing the Advancement of Imaging Techniques in Chest Radiographic Images.
5
Niri, E. D., & Singh, T. (2016). Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data. Pattern Recognition, 55, 160-171.
6
Phadikar, A., Kumar, N., Phadikar, B. S., & Maity, G. K. (2016). Video summarisation using optimum global threshold technique based on genetic algorithm. International Journal of Innovative Computing and Applications, 7(1), 1-12.
7
Thamizharasi, A., & Jayasudha, J. S. (2016). An Illumination Invariant Face Recognition by Selection of DCT Coefficients. International Journal of Image Processing (IJIP), 10(1), 14.
8
Klingensmith, M., Herrmann, M., & Srinivasa, S. S. (2016). Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving. In Experimental Robotics (pp. 697-713). Springer International Publishing.
9
Shaukat, A., Gao, Y., Kuo, J. A., Bowen, B. A., & Mort, P. E. (2016). Visual classification of waste material for nuclear decommissioning. Robotics and Autonomous Systems, 75, 365-378.
10
Jain, M., & Singh, D. (2016). A Survey on CBIR on the Basis of Different Feature Descriptor. British Journal of Mathematics & Computer Science, 14(6), 1.
 
Complete Citation Report >>
Soruce: Google Scholar.