David B. Loveman

22 total papers · 1.3k total citations
12 papers, 839 citations indexed

About

David B. Loveman is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, David B. Loveman has authored 12 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 5 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in David B. Loveman's work include Parallel Computing and Optimization Techniques (8 papers), Logic, programming, and type systems (3 papers) and Distributed and Parallel Computing Systems (2 papers). David B. Loveman is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Logic, programming, and type systems (3 papers) and Distributed and Parallel Computing Systems (2 papers). David B. Loveman collaborates with scholars based in United States. David B. Loveman's co-authors include Guy L. Steele, Robert Schreiber, Charles Koelbel, Mary Zosel, A. John Mallinckrodt, Susan R. McKay, Michael Karr, John A. Moyne and Marco Annaratone and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and ACM SIGPLAN Notices.

In The Last Decade

David B. Loveman

12 papers receiving 738 citations

Author Peers

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

Author						Papers	Cites
David B. Loveman	610	555	219	118	102	12	839
Simon Peyton-Jones	397 0.7×	547 1.0×	371 1.7×	140 1.2×	153 1.5×	14	825
Mike Fagan	333 0.5×	318 0.6×	236 1.1×	224 1.9×	118 1.2×	13	705
Jay Hoeflinger	747 1.2×	610 1.1×	166 0.8×	193 1.6×	91 0.9×	28	930
Robert L. Bocchino	658 1.1×	675 1.2×	278 1.3×	129 1.1×	74 0.7×	31	947
Henry Massalin	473 0.8×	398 0.7×	271 1.2×	93 0.8×	108 1.1×	16	730
Richard Johnson	525 0.9×	343 0.6×	219 1.0×	140 1.2×	104 1.0×	21	735
François Irigoin	840 1.4×	563 1.0×	271 1.2×	115 1.0×	192 1.9×	27	1.0k
Susan Flynn Hummel	661 1.1×	737 1.3×	228 1.0×	193 1.6×	61 0.6×	16	914
Ayal Zaks	703 1.2×	477 0.9×	241 1.1×	203 1.7×	151 1.5×	37	914
Harini Srinivasan	484 0.8×	464 0.8×	285 1.3×	203 1.7×	59 0.6×	24	766

Countries citing papers authored by David B. Loveman

Since Specialization

Citations

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

Fields of papers citing papers by David B. Loveman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Loveman. 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 David B. Loveman. The network helps show where David B. Loveman may publish in the future.

Co-authorship network of co-authors of David B. Loveman

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Loveman. A scholar is included among the top collaborators of David B. Loveman 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 David B. Loveman. David B. Loveman 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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