I. M. Schlesinger

48 total papers · 1.1k total citations
30 papers, 629 citations indexed

About

I. M. Schlesinger is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, I. M. Schlesinger has authored 30 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Developmental and Educational Psychology, 5 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in I. M. Schlesinger's work include Hearing Impairment and Communication (4 papers), Natural Language Processing Techniques (3 papers) and Language Development and Disorders (3 papers). I. M. Schlesinger is often cited by papers focused on Hearing Impairment and Communication (4 papers), Natural Language Processing Techniques (3 papers) and Language Development and Disorders (3 papers). I. M. Schlesinger collaborates with scholars based in Israel and United States. I. M. Schlesinger's co-authors include Louis Guttman, Leon Manelis, Anne Van Kleeck, Susan D. Fischer, Peter A. Hornby, Ronald Levy, Nathan Stemmer, Mary Ritchie Key, Aron Wolfe Siegman and Stanley Feldstein and has published in prestigious journals such as Psychological Bulletin, Language and Behavioral and Brain Sciences.

In The Last Decade

I. M. Schlesinger

27 papers receiving 492 citations

Author Peers

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

Author						Papers	Cites
I. M. Schlesinger	251	195	159	128	120	30	629
Donald S. Boomer	205 0.8×	178 0.9×	270 1.7×	128 1.0×	188 1.6×	12	698
Sabine Kowal	205 0.8×	378 1.9×	342 2.2×	175 1.4×	121 1.0×	49	775
T. Mark Ellison	164 0.7×	112 0.6×	235 1.5×	212 1.7×	153 1.3×	36	742
Judith P. Goggin	256 1.0×	99 0.5×	230 1.4×	104 0.8×	260 2.2×	22	597
Roberto R. Heredia	213 0.8×	135 0.7×	299 1.9×	57 0.4×	219 1.8×	31	588
Thea Cameron‐Faulkner	543 2.2×	250 1.3×	90 0.6×	86 0.7×	120 1.0×	28	750
Carl T. Camden	134 0.5×	168 0.9×	210 1.3×	70 0.5×	242 2.0×	22	685
Sible Andringa	414 1.6×	340 1.7×	103 0.6×	87 0.7×	154 1.3×	36	657
E. B. Coleman	304 1.2×	74 0.4×	125 0.8×	179 1.4×	96 0.8×	26	568
Seamus Donnelly	494 2.0×	112 0.6×	103 0.6×	61 0.5×	323 2.7×	21	732

Countries citing papers authored by I. M. Schlesinger

Since Specialization

Citations

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

Fields of papers citing papers by I. M. Schlesinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. M. Schlesinger. 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 I. M. Schlesinger. The network helps show where I. M. Schlesinger may publish in the future.

Co-authorship network of co-authors of I. M. Schlesinger

This figure shows the co-authorship network connecting the top 25 collaborators of I. M. Schlesinger. A scholar is included among the top collaborators of I. M. Schlesinger 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 I. M. Schlesinger. I. M. Schlesinger 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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