Susan Reiser

34 total papers · 402 total citations
25 papers, 241 citations indexed

About

Susan Reiser is a scholar working on Computer Science Applications, Media Technology and Information Systems. According to data from OpenAlex, Susan Reiser has authored 25 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Science Applications, 6 papers in Media Technology and 4 papers in Information Systems. Recurrent topics in Susan Reiser's work include Teaching and Learning Programming (8 papers), Experimental Learning in Engineering (5 papers) and Art, Technology, and Culture (3 papers). Susan Reiser is often cited by papers focused on Teaching and Learning Programming (8 papers), Experimental Learning in Engineering (5 papers) and Art, Technology, and Culture (3 papers). Susan Reiser collaborates with scholars based in United States, Ireland and United Kingdom. Susan Reiser's co-authors include Rebecca Bruce, Raymond E. Ideker, Patrick D. Wolf, N.D. Danieley, Susan M. Blanchard, William Smith, J. Dean Brock, Michael Goldweber, Rahul Simha and Amruth N. Kumar and has published in prestigious journals such as Pacing and Clinical Electrophysiology, Leonardo and ACM SIGCSE Bulletin.

In The Last Decade

Susan Reiser

19 papers receiving 219 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Susan Reiser	76	60	38	30	25	25	241
Danijela Milošević	24 0.3×	45 0.8×	28 0.7×	11 0.4×	35 1.4×	49	234
Komminist Weldemariam	34 0.4×	25 0.4×	49 1.3×	4 0.1×	14 0.6×	28	174
Wafaa Alsaggaf	11 0.1×	23 0.4×	30 0.8×	10 0.3×	20 0.8×	26	260
Leila Jamel	12 0.2×	39 0.7×	45 1.2×	24 0.8×	44 1.8×	29	321
Remya George	11 0.1×	35 0.6×	31 0.8×	8 0.3×	23 0.9×	21	231
Weigang Lu	51 0.7×	41 0.7×	25 0.7×	3 0.1×	13 0.5×	37	316
Ana Madevska Bogdanova	136 1.8×	46 0.8×	34 0.9×	3 0.1×	10 0.4×	37	304
Tan‐Hsu Tan	11 0.1×	15 0.3×	125 3.3×	18 0.6×	38 1.5×	15	282
Chien‐Chang Hsu	8 0.1×	11 0.2×	70 1.8×	27 0.9×	13 0.5×	27	317
Dominique Lenné	34 0.4×	46 0.8×	62 1.6×	2 0.1×	31 1.2×	38	254

Countries citing papers authored by Susan Reiser

Since Specialization

Citations

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

Fields of papers citing papers by Susan Reiser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Reiser

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