Morton Nadler

38 total papers · 471 total citations
13 papers, 335 citations indexed

About

Morton Nadler is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Morton Nadler has authored 13 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Morton Nadler's work include Handwritten Text Recognition Techniques (3 papers), Image and Object Detection Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Morton Nadler is often cited by papers focused on Handwritten Text Recognition Techniques (3 papers), Image and Object Detection Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Morton Nadler collaborates with scholars based in United States and France. Morton Nadler's co-authors include Eric P. Smith, Jean-François Abramatic and Choon Lee and has published in prestigious journals such as Physics Today, Proceedings of the IEEE and Communications of the ACM.

In The Last Decade

Morton Nadler

13 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Morton Nadler	172	108	37	31	26	13	335
Stephen T. Welstead	133 0.8×	87 0.8×	35 0.9×	20 0.6×	42 1.6×	16	390
Yang Mu	213 1.2×	132 1.2×	36 1.0×	29 0.9×	14 0.5×	19	373
Xian Wei	173 1.0×	133 1.2×	48 1.3×	17 0.5×	30 1.2×	17	349
Sing‐Tze Bow	225 1.3×	79 0.7×	33 0.9×	43 1.4×	9 0.3×	7	394
Limei Zhang	226 1.3×	116 1.1×	75 2.0×	23 0.7×	14 0.5×	17	362
Kazuyuki Hara	80 0.5×	107 1.0×	17 0.5×	29 0.9×	43 1.7×	20	331
Rodrigo Lecaros	167 1.0×	33 0.3×	37 1.0×	26 0.8×	12 0.5×	22	316
Shang Ma	108 0.6×	101 0.9×	15 0.4×	17 0.5×	63 2.4×	17	331
Donald Hearn	195 1.1×	42 0.4×	18 0.5×	17 0.5×	22 0.8×	9	383
Jing Liu	198 1.2×	73 0.7×	65 1.8×	19 0.6×	10 0.4×	13	304

Countries citing papers authored by Morton Nadler

Since Specialization

Citations

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

Fields of papers citing papers by Morton Nadler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morton Nadler

This figure shows the co-authorship network connecting the top 25 collaborators of Morton Nadler. A scholar is included among the top collaborators of Morton Nadler 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 Morton Nadler. Morton Nadler 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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