Richard E. Overill

1.8k total citations
87 papers, 1.3k citations indexed

About

Richard E. Overill is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Richard E. Overill has authored 87 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 18 papers in Signal Processing and 17 papers in Artificial Intelligence. Recurrent topics in Richard E. Overill's work include Digital and Cyber Forensics (21 papers), Advanced Malware Detection Techniques (17 papers) and Advanced Chemical Physics Studies (11 papers). Richard E. Overill is often cited by papers focused on Digital and Cyber Forensics (21 papers), Advanced Malware Detection Techniques (17 papers) and Advanced Chemical Physics Studies (11 papers). Richard E. Overill collaborates with scholars based in United Kingdom, Hong Kong and United States. Richard E. Overill's co-authors include Tomasz Radzik, John Emsley, Martyn F. Guest, V. R. Saunders, Deborah J. Jones, T. A. Claxton, Victor R. Saunders, Jungwon Kim, Martyn C. R. Symons and Jack M. Miller and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Physics Letters and Journal of Computational Chemistry.

In The Last Decade

Richard E. Overill

84 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard E. Overill United Kingdom 16 425 344 321 267 234 87 1.3k
Jean‐Marc Robert France 24 295 0.7× 193 0.6× 131 0.4× 442 1.7× 80 0.3× 138 2.0k
Lemin Li China 26 667 1.6× 986 2.9× 102 0.3× 189 0.7× 42 0.2× 292 2.9k
Thomas Steinke Germany 25 219 0.5× 295 0.9× 1.0k 3.2× 92 0.3× 24 0.1× 103 2.3k
Joseph P. Kenny United States 15 344 0.8× 188 0.5× 77 0.2× 112 0.4× 28 0.1× 43 1.0k
W. E. Donath United States 18 242 0.6× 257 0.7× 162 0.5× 174 0.7× 32 0.1× 31 1.9k
Malcolm C. Harrison United States 14 314 0.7× 125 0.4× 222 0.7× 151 0.6× 40 0.2× 37 762
Javier Herranz Spain 20 124 0.3× 154 0.4× 539 1.7× 268 1.0× 40 0.2× 78 1.3k
M. M. Sant’Anna Brazil 21 1.2k 2.7× 144 0.4× 197 0.6× 405 1.5× 392 1.7× 88 2.4k
David E. Bernholdt United States 23 794 1.9× 728 2.1× 126 0.4× 385 1.4× 17 0.1× 103 2.5k
Christopher Batten United States 24 320 0.8× 791 2.3× 188 0.6× 140 0.5× 23 0.1× 91 2.1k

Countries citing papers authored by Richard E. Overill

Since Specialization
Citations

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

Fields of papers citing papers by Richard E. Overill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard E. Overill. 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 Richard E. Overill. The network helps show where Richard E. Overill may publish in the future.

Co-authorship network of co-authors of Richard E. Overill

This figure shows the co-authorship network connecting the top 25 collaborators of Richard E. Overill. A scholar is included among the top collaborators of Richard E. Overill 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 Richard E. Overill. Richard E. Overill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Overill, Richard E., et al.. (2021). Quantitative evaluation of the results of digital forensic investigations: a review of progress. Forensic Sciences Research. 6(1). 13–18. 5 indexed citations
2.
Schneps, Leila, Richard E. Overill, & David A. Lagnado. (2018). Ranking the Impact of Different Tests on a Hypothesis in a Bayesian Network. Entropy. 20(11). 856–856. 1 indexed citations
3.
Overill, Richard E. & Kam-Pui Chow. (2016). An approach to quantifying the plausibility of the inadvertent download defence. Forensic Sciences Research. 1(1). 28–32. 2 indexed citations
4.
Iliopoulos, Costas S., et al.. (2015). A Statistical Approach for Discovering Critical Malicious Patterns in Malware Families. 21–26. 3 indexed citations
5.
Overill, Richard E., et al.. (2014). Addressing the Increasing Volume and Variety of Digital Evidence Using an Ontology. Research Portal (King's College London). 1. 176–183. 8 indexed citations
6.
Overill, Richard E., et al.. (2012). Multi-Parameter Sensitivity Analysis of a Bayesian Network from a Digital Forensic Investigation. Scholarly Commons (Embry–Riddle Aeronautical University). 129–140. 2 indexed citations
7.
Overill, Richard E., et al.. (2010). Sensitivity Analysis of a Bayesian Network for Reasoning about Digital Forensic Evidence. The HKU Scholars Hub (University of Hong Kong). 1–5. 4 indexed citations
8.
Coles-Kemp, Lizzie & Richard E. Overill. (2007). Triangulating the Views of Human and Non-Human Stakeholders in Information System Security Risk Assessment.. Research Portal (King's College London). 125(3). 172–178. 1 indexed citations
9.
Overill, Richard E.. (2007). Computational immunology and anomaly detection. Information Security Technical Report. 12(4). 188–191. 6 indexed citations
10.
Overill, Richard E.. (2004). Review: Views into the Chinese Room: New Essays on Searle and Artificial Intelligence. Journal of Logic and Computation. 14(2). 325–326. 2 indexed citations
11.
Kim, Jungwon, et al.. (2003). Design of an artificial immune system as a novel anomaly detector for combating financial fraud in the retail sector. Research Portal (King's College London). 405–412 Vol.1. 29 indexed citations
12.
Overill, Richard E.. (2003). Handbook of Molecular Physics and Quantum Chemistry. 224 indexed citations
13.
Overill, Richard E.. (1998). Intrusion Detection Systems: Threats, Taxonomy, Tuning. Journal of Financial Crime. 6(1). 49–51. 1 indexed citations
14.
Moncrieff, David, Richard E. Overill, & Stephen Wilson. (1995). αcritical for parallel processors. Parallel Computing. 21(3). 467–471. 1 indexed citations
15.
Overill, Richard E. & Stephen Wilson. (1994). Performance of parallel algorithms for the evaluation of power series. Parallel Computing. 20(8). 1205–1213. 3 indexed citations
16.
Tranter, G.E., Alexandra J. MacDermott, Richard E. Overill, & Peter Speers. (1992). Computational studies of the electroweak origin of biomolecular handedness in natural sugars. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 436(1898). 603–615. 12 indexed citations
17.
Emsley, John, et al.. (1981). An unexpectedly strong hydrogen bond: ab initio calculations and spectroscopic studies of amide-fluoride systems. Journal of the American Chemical Society. 103(1). 24–28. 43 indexed citations
18.
Emsley, John & Richard E. Overill. (1979). Defining the bond energy of a strong hydrogen bond. Chemical Physics Letters. 65(3). 616–617. 12 indexed citations
19.
Overill, Richard E., et al.. (1976). On the determination of bond angles of triatomic radicals from electron spin resonance data. Journal of the Chemical Society Dalton Transactions. 2446–2446. 2 indexed citations
20.
Dixon, M., Richard E. Overill, & T. A. Claxton. (1974). A theoretical study of the 2H and 17O nuclear quadrupole coupling constants of the oxonium ion. Journal of Magnetic Resonance (1969). 15(3). 477–483. 3 indexed citations

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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