Daniel M. Gruen

35 total papers · 1.1k total citations
24 papers, 688 citations indexed

About

Daniel M. Gruen is a scholar working on Artificial Intelligence, Information Systems and Management and Human-Computer Interaction. According to data from OpenAlex, Daniel M. Gruen has authored 24 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Information Systems and Management and 5 papers in Human-Computer Interaction. Recurrent topics in Daniel M. Gruen's work include Usability and User Interface Design (5 papers), Personal Information Management and User Behavior (5 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Daniel M. Gruen is often cited by papers focused on Usability and User Interface Design (5 papers), Personal Information Management and User Behavior (5 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Daniel M. Gruen collaborates with scholars based in United States, Canada and United Kingdom. Daniel M. Gruen's co-authors include Michael Müller, David R. Millen, Marian Dörk, Sheelagh Carpendale, Carey Williamson, Amar K. Das, Yoonyoung Park, Gretchen Purcell Jackson, Jianying Hu and Paul Moody and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Human-Computer Interaction and Artificial Intelligence in Medicine.

In The Last Decade

Daniel M. Gruen

23 papers receiving 636 citations

Author Peers

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

Author						Papers	Cites
Daniel M. Gruen	248	212	142	94	92	24	688
Huahai Yang	392 1.6×	103 0.5×	146 1.0×	25 0.3×	150 1.6×	31	746
Yixuan Zhang	244 1.0×	168 0.8×	89 0.6×	15 0.2×	126 1.4×	61	684
Jeffrey M. Rzeszotarski	189 0.8×	137 0.6×	82 0.6×	12 0.1×	99 1.1×	28	582
Daniel Duma	489 2.0×	65 0.3×	101 0.7×	29 0.3×	79 0.9×	13	792
Dominique Brodbeck	179 0.7×	281 1.3×	81 0.6×	44 0.5×	49 0.5×	21	736
Acar Tamersoy	281 1.1×	123 0.6×	193 1.4×	82 0.9×	155 1.7×	26	692
Svetlin Bostandjiev	275 1.1×	278 1.3×	380 2.7×	58 0.6×	70 0.8×	9	636
Ping Hu	81 0.3×	243 1.1×	40 0.3×	76 0.8×	155 1.7×	38	623
Elisabeth Lex	296 1.2×	81 0.4×	332 2.3×	55 0.6×	114 1.2×	79	703
Qianwen Wang	250 1.0×	317 1.5×	67 0.5×	22 0.2×	51 0.6×	50	745

Countries citing papers authored by Daniel M. Gruen

Since Specialization

Citations

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

Fields of papers citing papers by Daniel M. Gruen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Gruen

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