Ron Litman

472 total citations
8 papers, 167 citations indexed

About

Ron Litman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ron Litman has authored 8 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Ron Litman's work include Multimodal Machine Learning Applications (4 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (3 papers). Ron Litman is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (3 papers). Ron Litman collaborates with scholars based in Israel and United States. Ron Litman's co-authors include R. Manmatha, Oron Anschel, Roee Litman, Shahar Tsiper, Srikar Appalaraju, Ali Furkan Biten, Alona Golts, Maria Nădejde, Benjamin Hsu and Huayang Li and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Ron Litman

7 papers receiving 154 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ron Litman Israel	5	142	75	22	9	7	8	167
Zhizhong Su China	3	142 1.0×	34 0.5×	44 2.0×	5 0.6×	5 0.7×	6	156
Viresh Ranjan India	4	206 1.5×	91 1.2×	14 0.6×	3 0.3×	12 1.7×	10	221
Anwen Hu China	7	83 0.6×	82 1.1×	7 0.3×	7 0.8×	4 0.6×	17	143
Sébastien Ehrhardt United Kingdom	4	86 0.6×	73 1.0×	7 0.3×	7 0.8×	4 0.6×	5	130
Riccardo Corvi Italy	4	132 0.9×	47 0.6×	6 0.3×	4 0.4×	9 1.3×	4	180
Jishen Zeng China	8	298 2.1×	48 0.6×	19 0.9×	12 1.3×	22 3.1×	15	316
Yashaswi Verma India	8	234 1.6×	95 1.3×	36 1.6×	2 0.2×	4 0.6×	17	255
Michael Grubinger Australia	2	264 1.9×	107 1.4×	11 0.5×	4 0.4×	5 0.7×	2	273
Mingyang Ling China	4	186 1.3×	116 1.5×	8 0.4×	6 0.7×	2 0.3×	6	212

Countries citing papers authored by Ron Litman

Since Specialization

Citations

This map shows the geographic impact of Ron Litman'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 Ron Litman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Litman more than expected).

Fields of papers citing papers by Ron Litman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron Litman. 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 Ron Litman. The network helps show where Ron Litman may publish in the future.

Co-authorship network of co-authors of Ron Litman

This figure shows the co-authorship network connecting the top 25 collaborators of Ron Litman. A scholar is included among the top collaborators of Ron Litman 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 Ron Litman. Ron Litman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Golts, Alona, et al.. (2025). DocVLM: Make Your VLM an Efficient Reader. 29005–29015.

2.

Hsu, Benjamin, Huayang Li, Maria Nădejde, et al.. (2024). M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation. 499–507. 2 indexed citations

3.

Golts, Alona, et al.. (2024). GRAM: Global Reasoning for Multi-Page VQA. 15598–15607. 3 indexed citations

4.

Litman, Ron, et al.. (2024). Question Aware Vision Transformer for Multimodal Reasoning. 13861–13871. 4 indexed citations

5.

Golts, Alona, et al.. (2023). CLIPTER: Looking at the Bigger Picture in Scene Text Recognition. 21649–21660. 16 indexed citations

6.

Litman, Ron, et al.. (2023). Towards Models that Can See and Read. 21661–21671. 8 indexed citations

7.

Biten, Ali Furkan, et al.. (2022). LaTr: Layout-Aware Transformer for Scene-Text VQA. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16527–16537. 47 indexed citations

8.

Litman, Ron, et al.. (2020). SCATTER: Selective Context Attentional Scene Text Recognizer. 11959–11969. 87 indexed citations

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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