Diana MacLean

17 total papers · 663 total citations
15 papers, 478 citations indexed

About

Diana MacLean is a scholar working on Computer Networks and Communications, Social Psychology and Statistical and Nonlinear Physics. According to data from OpenAlex, Diana MacLean has authored 15 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Social Psychology and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Diana MacLean's work include Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers) and Scientific Computing and Data Management (3 papers). Diana MacLean is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers) and Scientific Computing and Data Management (3 papers). Diana MacLean collaborates with scholars based in United States, United Kingdom and India. Diana MacLean's co-authors include Jeffrey Heer, Mary Czerwinski, Asta Roseway, Margo Seltzer, David A. Holland, Kiran‐Kumar Muniswamy‐Reddy, Uri Braun, Anna Lembke, Christopher D. Manning and Sonal Gupta and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of the Association for Information Systems and Digital Access to Scholarship at Harvard (DASH) (Harvard University).

In The Last Decade

Diana MacLean

14 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
Diana MacLean	125	125	122	70	69	15	478
Julián Ramos	55 0.4×	58 0.5×	79 0.6×	61 0.9×	18 0.3×	12	476
Keith Edwards	66 0.5×	90 0.7×	69 0.6×	98 1.4×	45 0.7×	10	500
Kleomenis Katevas	71 0.6×	65 0.5×	46 0.4×	225 3.2×	55 0.8×	19	428
Hafiz Syed Muhammad Bilal	66 0.5×	23 0.2×	32 0.3×	135 1.9×	78 1.1×	32	462
Benjamin Erb	123 1.0×	23 0.2×	107 0.9×	121 1.7×	78 1.1×	31	518
Jim Christensen	85 0.7×	208 1.7×	43 0.4×	20 0.3×	70 1.0×	12	469
Markus Bylund	60 0.5×	31 0.2×	100 0.8×	30 0.4×	27 0.4×	24	407
Aleksandar Matic	27 0.2×	80 0.6×	28 0.2×	32 0.5×	45 0.7×	19	414
André N. Meyer	242 1.9×	169 1.4×	50 0.4×	59 0.8×	77 1.1×	16	521
Jane Hoffswell	58 0.5×	54 0.4×	40 0.3×	89 1.3×	10 0.1×	25	436

Countries citing papers authored by Diana MacLean

Since Specialization

Citations

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

Fields of papers citing papers by Diana MacLean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana MacLean

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