Dave Elliman

764 total citations
12 papers, 391 citations indexed

About

Dave Elliman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dave Elliman has authored 12 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Dave Elliman's work include Handwritten Text Recognition Techniques (3 papers), Semantic Web and Ontologies (3 papers) and Teaching and Learning Programming (3 papers). Dave Elliman is often cited by papers focused on Handwritten Text Recognition Techniques (3 papers), Semantic Web and Ontologies (3 papers) and Teaching and Learning Programming (3 papers). Dave Elliman collaborates with scholars based in United Kingdom, Spain and Finland. Dave Elliman's co-authors include Colin Higgins, Marzieh Ahmadzadeh, Somaya Al-Máadeed, Edmund Burke, Rupert F. Weare, Jean-Marc Ogier, Philippe Dosch, Wenyin Liu, Sébastien Adam and Su Yang and has published in prestigious journals such as Knowledge-Based Systems, International Journal on Document Analysis and Recognition (IJDAR) and Intelligent systems in accounting, finance and management.

In The Last Decade

Dave Elliman

12 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dave Elliman United Kingdom	7	185	116	106	92	91	12	391
Brian Broll United States	8	134 0.7×	89 0.8×	46 0.4×	13 0.1×	66 0.7×	27	265
T. Dean Hendrix United States	11	205 1.1×	244 2.1×	69 0.7×	39 0.4×	126 1.4×	37	392
Hsi‐Min Chen Taiwan	10	65 0.4×	108 0.9×	37 0.3×	22 0.2×	26 0.3×	41	268
Joseph E. Urban United States	10	32 0.2×	139 1.2×	171 1.6×	9 0.1×	104 1.1×	78	357
Assaf Marron Israel	10	63 0.3×	121 1.0×	229 2.2×	21 0.2×	121 1.3×	47	375
Jui-Feng Weng Taiwan	10	123 0.7×	183 1.6×	125 1.2×	17 0.2×	9 0.1×	21	308
Peter-Michael Osera United States	8	110 0.6×	165 1.4×	133 1.3×	8 0.1×	125 1.4×	15	318
Nien‐Lin Hsueh Taiwan	11	33 0.2×	208 1.8×	107 1.0×	190 2.1×	77 0.8×	46	493
Carlo Bellettini Italy	10	55 0.3×	135 1.2×	102 1.0×	21 0.2×	57 0.6×	39	307
Zdravko Markov United States	9	55 0.3×	67 0.6×	134 1.3×	20 0.2×	10 0.1×	31	236

Countries citing papers authored by Dave Elliman

Since Specialization

Citations

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

Fields of papers citing papers by Dave Elliman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dave Elliman

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Elliman, Dave, et al.. (2008). Artificial learning approaches for the nextgeneration Web: Part I. Ingeniería Investigación y Tecnología. 9(1). 67–75. 2 indexed citations

Elliman, Dave, et al.. (2008). Artificial learning approaches for the nextgeneration web: Part II. Ingeniería Investigación y Tecnología. 9(2). 161–169. 2 indexed citations

Liu, Yü, et al.. (2007). Wavelets for FTIR Cancer Data.. International MultiConference of Engineers and Computer Scientists. 301–306. 1 indexed citations

Ahmadzadeh, Marzieh, Dave Elliman, & Colin Higgins. (2007). The Impact of Improving Debugging Skill on Programming Ability. 6(4). 72–87. 12 indexed citations

Elliman, Dave. (2006). Pattern recognition and financial time‐series. Intelligent systems in accounting, finance and management. 14(3). 99–115. 6 indexed citations

Valveny, Ernest, Philippe Dosch, Adam C. Winstanley, et al.. (2006). A general framework for the evaluation of symbol recognition methods. International Journal on Document Analysis and Recognition (IJDAR). 9(1). 59–74. 15 indexed citations

Ahmadzadeh, Marzieh, Dave Elliman, & Colin Higgins. (2005). An analysis of patterns of debugging among novice computer science students. 84–88. 145 indexed citations

Ahmadzadeh, Marzieh, Dave Elliman, & Colin Higgins. (2005). An analysis of patterns of debugging among novice computer science students. ACM SIGCSE Bulletin. 37(3). 84–88. 59 indexed citations

Al-Máadeed, Somaya, Dave Elliman, & Colin Higgins. (2004). A Data Base for Arabic Handwritten Text Recognition Research.. The International Arab Journal of Information Technology. 1. 13 indexed citations

10.

Al-Máadeed, Somaya, Colin Higgins, & Dave Elliman. (2004). Off-line recognition of handwritten Arabic words using multiple hidden Markov models. Knowledge-Based Systems. 17(2-4). 75–79. 62 indexed citations

11.

Elliman, Dave, et al.. (2003). Self-Organizing Maps for Detecting Ontology Components.. International Conference on Artificial Intelligence. 650–653. 5 indexed citations

12.

Burke, Edmund, Dave Elliman, & Rupert F. Weare. (1995). A Hybrid Genetic Algorithm for Highly Constrained Timetabling Problems. international conference on Genetic algorithms. 605–610. 69 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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