Bernard A. Nadel

485 total citations
11 papers, 222 citations indexed

About

Bernard A. Nadel is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Bernard A. Nadel has authored 11 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 5 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Bernard A. Nadel's work include Constraint Satisfaction and Optimization (10 papers), Data Management and Algorithms (5 papers) and AI-based Problem Solving and Planning (3 papers). Bernard A. Nadel is often cited by papers focused on Constraint Satisfaction and Optimization (10 papers), Data Management and Algorithms (5 papers) and AI-based Problem Solving and Planning (3 papers). Bernard A. Nadel collaborates with scholars based in United States and United Kingdom. Bernard A. Nadel's co-authors include Xiangjun Wu, David Kagan and Jian Lin and has published in prestigious journals such as Information Sciences, Artificial intelligence for engineering design analysis and manufacturing and Computational Intelligence.

In The Last Decade

Bernard A. Nadel

9 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bernard A. Nadel United States	6	172	95	88	37	30	11	222
Berthe Y. Choueiry United States	8	168 1.0×	104 1.1×	108 1.2×	37 1.0×	35 1.2×	50	233
Pierre Bricaud United States	6	79 0.5×	26 0.3×	31 0.4×	39 1.1×	6 0.2×	10	304
Neng‐Fa Zhou United States	12	109 0.6×	15 0.2×	245 2.8×	87 2.4×	6 0.2×	39	330
Hugo Daniel Macedo Denmark	7	34 0.2×	21 0.2×	39 0.4×	26 0.7×	14 0.5×	16	140
Ken Currie United Kingdom	6	118 0.7×	8 0.1×	291 3.3×	17 0.5×	18 0.6×	11	346
Jak Kirman United States	5	60 0.3×	9 0.1×	239 2.7×	59 1.6×	35 1.2×	6	293
Thaddeus J. Kowalski United States	8	80 0.5×	8 0.1×	59 0.7×	41 1.1×	4 0.1×	15	332
Roberto Asín‐Achá Chile	8	68 0.4×	12 0.1×	73 0.8×	74 2.0×	35 1.2×	21	188
Narges Khakpour Sweden	8	85 0.5×	36 0.4×	125 1.4×	28 0.8×	4 0.1×	23	187
Alexey Khoroshilov Russia	7	48 0.3×	22 0.2×	69 0.8×	31 0.8×	8 0.3×	57	188

Countries citing papers authored by Bernard A. Nadel

Since Specialization

Citations

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

Fields of papers citing papers by Bernard A. Nadel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard A. Nadel. 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 Bernard A. Nadel. The network helps show where Bernard A. Nadel may publish in the future.

Co-authorship network of co-authors of Bernard A. Nadel

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

All Works

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11 of 11 papers shown

1.

Nadel, Bernard A. & Jian Lin. (2002). Automobile transmission design as a constraint satisfaction problem: first results. i. 248–256. 4 indexed citations

2.

Nadel, Bernard A.. (1995). Constraint satisfaction in prolog: Complexity and theory-based heuristics. Information Sciences. 83(3-4). 113–131. 9 indexed citations

3.

Nadel, Bernard A., Xiangjun Wu, & David Kagan. (1993). Multiple abstraction levels in automobile transmission design: constraint satisfaction formulations and implementations. 6(4). 489–559. 13 indexed citations

4.

Nadel, Bernard A.. (1993). Precision complexity analysis: A case study using insertion sort. Information Sciences. 73(1-2). 139–189. 1 indexed citations

5.

Nadel, Bernard A., et al.. (1991). Automobile transmission design as a constraint satisfaction problem: modelling the kinematic level. Artificial intelligence for engineering design analysis and manufacturing. 5(3). 137–171. 23 indexed citations

6.

Nadel, Bernard A.. (1990). The complexity of constraint satisfaction in prolog. National Conference on Artificial Intelligence. 33–39. 3 indexed citations

7.

Nadel, Bernard A.. (1990). Representation selection for constraint satisfaction: a case study using n-queens. IEEE Expert. 5(3). 16–23. 37 indexed citations

8.

Nadel, Bernard A.. (1989). Constraint satisfaction algorithms1. Computational Intelligence. 5(3). 188–224. 120 indexed citations

9.

Nadel, Bernard A.. (1986). The consistent labeling problem and its algorithm: toward exact-case complexities and theory-based heuristics. University Microfilms International eBooks. 4 indexed citations

10.

Nadel, Bernard A.. (1986). The General Consistent Labeling (or Constraint Satisfaction) Problem. Deep Blue (University of Michigan). 6 indexed citations

11.

Nadel, Bernard A.. (1986). Three Constraint Satisfaction Algorithms and Their Complexities: Search-Order Dependent and Effectively Instance-Specific Results. Deep Blue (University of Michigan). 2 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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