M. Kalman

16 total papers · 607 total citations
16 papers, 428 citations indexed

About

M. Kalman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, M. Kalman has authored 16 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 7 papers in Computer Networks and Communications. Recurrent topics in M. Kalman's work include Image and Video Quality Assessment (10 papers), Video Coding and Compression Technologies (10 papers) and Advanced Wireless Network Optimization (6 papers). M. Kalman is often cited by papers focused on Image and Video Quality Assessment (10 papers), Video Coding and Compression Technologies (10 papers) and Advanced Wireless Network Optimization (6 papers). M. Kalman collaborates with scholars based in United States, Germany and Canada. M. Kalman's co-authors include Bernd Girod, Eckehard Steinbach, P. Ramanathan, Rui Zhang, Peter van Beek, Isaac Keslassy, Behrouz H. Far, Eric Setton, Athina Markopoulou and J Apostolopoulos and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia and Proceedings - International Conference on Image Processing.

In The Last Decade

M. Kalman

16 papers receiving 386 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Kalman 266 227 222 190 62 16 428
Aditya Mavlankar 358 1.3× 238 1.0× 129 0.6× 47 0.2× 79 1.3× 28 430
Huasen Wu 214 0.8× 133 0.6× 219 1.0× 182 1.0× 30 0.5× 18 448
Rafael Huysegems 394 1.5× 249 1.1× 208 0.9× 50 0.3× 104 1.7× 15 457
J. Zdepski 356 1.3× 337 1.5× 106 0.5× 60 0.3× 41 0.7× 24 453
Yago Sánchez 327 1.2× 253 1.1× 66 0.3× 46 0.2× 60 1.0× 31 371
Jason J. Quinlan 324 1.2× 219 1.0× 194 0.9× 143 0.8× 66 1.1× 26 478
W. Verbiest 149 0.6× 115 0.5× 277 1.2× 145 0.8× 61 1.0× 14 403
Fan Zhai 213 0.8× 268 1.2× 142 0.6× 226 1.2× 38 0.6× 29 383
Quang‐Dung Ho 166 0.6× 127 0.6× 215 1.0× 207 1.1× 37 0.6× 27 430
M. Khansari 239 0.9× 253 1.1× 166 0.7× 198 1.0× 20 0.3× 26 395

Countries citing papers authored by M. Kalman

Since Specialization
Citations

This map shows the geographic impact of M. Kalman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Kalman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kalman more than expected).

Fields of papers citing papers by M. Kalman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Kalman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Kalman. The network helps show where M. Kalman may publish in the future.

Co-authorship network of co-authors of M. Kalman

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kalman. A scholar is included among the top collaborators of M. Kalman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Kalman. M. Kalman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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