Christopher Wills

43 total papers · 559 total citations
19 papers, 283 citations indexed

About

Christopher Wills is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Christopher Wills has authored 19 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Christopher Wills's work include Advanced Software Engineering Methodologies (2 papers), Information and Cyber Security (2 papers) and Software Engineering Techniques and Practices (2 papers). Christopher Wills is often cited by papers focused on Advanced Software Engineering Methodologies (2 papers), Information and Cyber Security (2 papers) and Software Engineering Techniques and Practices (2 papers). Christopher Wills collaborates with scholars based in United Kingdom, Malaysia and Iran. Christopher Wills's co-authors include Ahmed Patel, Qais Saif Qassim, Isaac Luginaah, Karen Y. Fung, Kevin M. Gorey, Greg Webster, Mona Taghavi, Yiqi Tew, Nikita Schmidt and Joaquim Celestino Júnior and has published in prestigious journals such as Environmental Health Perspectives, Computer Standards & Interfaces and Natural Hazards Review.

In The Last Decade

Christopher Wills

16 papers receiving 253 citations

Author Peers

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

Author						Papers	Cites
Christopher Wills	108	83	69	65	61	19	283
Sonia Rivest	69 0.6×	28 0.3×	50 0.7×	93 1.4×	29 0.5×	11	266
Ingolf Krueger	73 0.7×	33 0.4×	86 1.2×	8 0.1×	76 1.2×	25	308
Min Sun	93 0.9×	5 0.1×	79 1.1×	72 1.1×	45 0.7×	17	322
Manash Sarkar	31 0.3×	22 0.3×	61 0.9×	25 0.4×	76 1.2×	26	272
Edgar Tello-Leal	57 0.5×	52 0.6×	77 1.1×	11 0.2×	62 1.0×	37	318
Stefano Bocconi	54 0.5×	41 0.5×	70 1.0×	22 0.3×	77 1.3×	23	317
Nima Nikzad	35 0.3×	73 0.9×	19 0.3×	8 0.1×	29 0.5×	18	312
Bin Luo	82 0.8×	31 0.4×	99 1.4×	15 0.2×	148 2.4×	21	320
Bhavya Alankar	35 0.3×	29 0.3×	65 0.9×	28 0.4×	112 1.8×	28	295
Huda Fatima	22 0.2×	28 0.3×	35 0.5×	22 0.3×	14 0.2×	26	209

Countries citing papers authored by Christopher Wills

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Wills

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Wills

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