Mark Parsons

81 total papers · 501 total citations
25 papers, 228 citations indexed

About

Mark Parsons is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems and Management. According to data from OpenAlex, Mark Parsons has authored 25 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 7 papers in Information Systems and Management. Recurrent topics in Mark Parsons's work include Distributed and Parallel Computing Systems (8 papers), Parallel Computing and Optimization Techniques (7 papers) and Scientific Computing and Data Management (7 papers). Mark Parsons is often cited by papers focused on Distributed and Parallel Computing Systems (8 papers), Parallel Computing and Optimization Techniques (7 papers) and Scientific Computing and Data Management (7 papers). Mark Parsons collaborates with scholars based in United Kingdom, South Africa and France. Mark Parsons's co-authors include Neil Chue Hong, Aleksandra Pawlik, Simon Hettrick, David De Roure, Leslie Carr, Stephen Crouch, Carole Goble, Mike Jackson, William Henry Jackson and Shoaib Sufi and has published in prestigious journals such as Advances in Engineering Software, Computing in Science & Engineering and The International Journal of High Performance Computing Applications.

In The Last Decade

Mark Parsons

23 papers receiving 212 citations

Author Peers

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

Author						Papers	Cites
Mark Parsons	102	63	62	58	29	25	228
Cécile Germain‐Renaud	139 1.4×	31 0.5×	98 1.6×	36 0.6×	118 4.1×	21	297
Donna Bergmark	90 0.9×	34 0.5×	134 2.2×	43 0.7×	82 2.8×	22	277
Ioana Baldini	145 1.4×	49 0.8×	149 2.4×	48 0.8×	80 2.8×	20	317
Vassiliki Andronikou	95 0.9×	23 0.4×	103 1.7×	19 0.3×	40 1.4×	26	206
Sarah Chasins	46 0.5×	48 0.8×	120 1.9×	41 0.7×	89 3.1×	28	311
Eric McCreath	51 0.5×	40 0.6×	67 1.1×	31 0.5×	113 3.9×	32	272
Juan González	119 1.2×	8 0.1×	55 0.9×	107 1.8×	25 0.9×	22	219
Tiziana Ferrari	183 1.8×	37 0.6×	49 0.8×	26 0.4×	16 0.6×	23	224
Raj Kettimuthu	206 2.0×	74 1.2×	79 1.3×	35 0.6×	30 1.0×	23	310
Mache Creeger	130 1.3×	27 0.4×	153 2.5×	31 0.5×	34 1.2×	18	250

Countries citing papers authored by Mark Parsons

Since Specialization

Citations

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

Fields of papers citing papers by Mark Parsons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Parsons

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