Donna L. Gresh

16 total papers · 637 total citations
13 papers, 250 citations indexed

About

Donna L. Gresh is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Donna L. Gresh has authored 13 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Donna L. Gresh's work include Data Visualization and Analytics (7 papers), Scheduling and Timetabling Solutions (4 papers) and Constraint Satisfaction and Optimization (3 papers). Donna L. Gresh is often cited by papers focused on Data Visualization and Analytics (7 papers), Scheduling and Timetabling Solutions (4 papers) and Constraint Satisfaction and Optimization (3 papers). Donna L. Gresh collaborates with scholars based in United States, Israel and Austria. Donna L. Gresh's co-authors include Daniel P. Connors, Helwig Hauser, Robert Kosara, Y. Naveh, Yossi Richter, Bernice E. Rogowitz, Yaniv Altshuler, Christina K. Yung, Raimond L. Winslow and D. F. Scollan and has published in prestigious journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, IBM Journal of Research and Development and IBM Systems Journal.

In The Last Decade

Donna L. Gresh

13 papers receiving 234 citations

Author Peers

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

Author						Papers	Cites
Donna L. Gresh	114	53	41	37	36	13	250
Neha Soni	44 0.4×	19 0.4×	55 1.3×	12 0.3×	30 0.8×	14	219
Chén Mĭn	114 1.0×	13 0.2×	52 1.3×	18 0.5×	6 0.2×	13	294
Kevin McDonald	153 1.3×	14 0.3×	77 1.9×	8 0.2×	8 0.2×	9	260
Zoya Svitkina	39 0.3×	60 1.1×	56 1.4×	11 0.3×	41 1.1×	17	219
Xavier Bonnaire	26 0.2×	9 0.2×	39 1.0×	14 0.4×	44 1.2×	14	239
Khalaf Khatatneh	44 0.4×	21 0.4×	94 2.3×	3 0.1×	29 0.8×	17	282
Rosario De Chiara	70 0.6×	47 0.9×	54 1.3×	15 0.4×	2 0.1×	28	239
Daniel Seebacher	194 1.7×	9 0.2×	80 2.0×	7 0.2×	8 0.2×	19	311
Ni Juan	63 0.6×	14 0.3×	130 3.2×	8 0.2×	6 0.2×	13	290
Edmond Prakash	38 0.3×	6 0.1×	62 1.5×	7 0.2×	13 0.4×	16	304

Countries citing papers authored by Donna L. Gresh

Since Specialization

Citations

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

Fields of papers citing papers by Donna L. Gresh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna L. Gresh. 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 Donna L. Gresh. The network helps show where Donna L. Gresh may publish in the future.

Co-authorship network of co-authors of Donna L. Gresh

This figure shows the co-authorship network connecting the top 25 collaborators of Donna L. Gresh. A scholar is included among the top collaborators of Donna L. Gresh 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 Donna L. Gresh. Donna L. Gresh 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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