Ihsin T. Phillips

63 total papers · 1.5k total citations
45 papers, 765 citations indexed

About

Ihsin T. Phillips is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ihsin T. Phillips has authored 45 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Ihsin T. Phillips's work include Handwritten Text Recognition Techniques (29 papers), Image Retrieval and Classification Techniques (23 papers) and Image Processing and 3D Reconstruction (11 papers). Ihsin T. Phillips is often cited by papers focused on Handwritten Text Recognition Techniques (29 papers), Image Retrieval and Classification Techniques (23 papers) and Image Processing and 3D Reconstruction (11 papers). Ihsin T. Phillips collaborates with scholars based in United States and Israel. Ihsin T. Phillips's co-authors include R.M. Haralick, Robert M. Haralick, Atul K. Chhabra, Yalin Wang, Tapas Kanungo, Jiyeon Ha, Robert M. Haralick, Su Chen, Richard S. Rogers and Dov Dori and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Computer Vision and Image Understanding.

In The Last Decade

Ihsin T. Phillips

43 papers receiving 692 citations

Author Peers

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

Author Last Decade Papers Cites
Ihsin T. Phillips 697 160 118 65 48 45 765
Hubert Emptoz 540 0.8× 156 1.0× 81 0.7× 38 0.6× 31 0.6× 54 621
Jiajun Wen 458 0.7× 214 1.3× 116 1.0× 58 0.9× 45 0.9× 51 641
Bin Shen 443 0.6× 215 1.3× 89 0.8× 17 0.3× 62 1.3× 51 687
Wei Zhang 457 0.7× 241 1.5× 113 1.0× 46 0.7× 45 0.9× 33 819
Zhanzhan Cheng 637 0.9× 306 1.9× 156 1.3× 29 0.4× 30 0.6× 31 834
Abderrahim Saaidi 588 0.8× 106 0.7× 99 0.8× 52 0.8× 19 0.4× 71 687
Satoshi Naoi 514 0.7× 164 1.0× 164 1.4× 9 0.1× 31 0.6× 81 647
Yousri Kessentini 522 0.7× 309 1.9× 233 2.0× 11 0.2× 32 0.7× 42 805
Ling‐Hwei Chen 672 1.0× 114 0.7× 130 1.1× 21 0.3× 19 0.4× 57 805
Anjan Dutta 532 0.8× 242 1.5× 81 0.7× 23 0.4× 29 0.6× 36 636

Countries citing papers authored by Ihsin T. Phillips

Since Specialization
Citations

This map shows the geographic impact of Ihsin T. Phillips'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 Ihsin T. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ihsin T. Phillips more than expected).

Fields of papers citing papers by Ihsin T. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ihsin T. Phillips. 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 Ihsin T. Phillips. The network helps show where Ihsin T. Phillips may publish in the future.

Co-authorship network of co-authors of Ihsin T. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Ihsin T. Phillips. A scholar is included among the top collaborators of Ihsin T. Phillips 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 Ihsin T. Phillips. Ihsin T. Phillips 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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