A. Khotanzad

5.6k total citations · 1 hit paper
76 papers, 4.0k citations indexed

About

A. Khotanzad is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, A. Khotanzad has authored 76 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 19 papers in Electrical and Electronic Engineering and 17 papers in Artificial Intelligence. Recurrent topics in A. Khotanzad's work include Image Retrieval and Classification Techniques (25 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Energy Load and Power Forecasting (13 papers). A. Khotanzad is often cited by papers focused on Image Retrieval and Classification Techniques (25 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Energy Load and Power Forecasting (13 papers). A. Khotanzad collaborates with scholars based in United States, Canada and Iran. A. Khotanzad's co-authors include D. Maratukulam, Rangasami L. Kashyap, A. Abaye, Mark H. Davis, Hassan M. Elragal, D P Flamig, S E Harms, R.L. Kashyap, Rama Chellappa and M Srinath and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Power Systems.

In The Last Decade

A. Khotanzad

72 papers receiving 3.7k citations

Hit Papers

Invariant image recognition by Zernike moments 1990 2026 2002 2014 1990 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Invariant image recognition by Zernike moments
    1990 1.3k citations A. Khotanzad et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Khotanzad United States 26 2.4k 976 747 447 389 76 4.0k
Lenan Wu China 35 1.2k 0.5× 1.5k 1.5× 1.4k 1.9× 261 0.6× 260 0.7× 244 5.2k
Jack Sklansky United States 31 2.4k 1.0× 551 0.6× 1.6k 2.2× 342 0.8× 75 0.2× 124 5.0k
Fan Yang China 27 1.5k 0.6× 1.2k 1.2× 741 1.0× 228 0.5× 87 0.2× 225 3.6k
Lei Xu Hong Kong 30 2.1k 0.9× 369 0.4× 2.3k 3.0× 437 1.0× 223 0.6× 189 5.2k
John S. Denker United States 15 2.1k 0.9× 395 0.4× 2.6k 3.5× 292 0.7× 82 0.2× 20 4.8k
Zongben Xu China 32 2.5k 1.0× 367 0.4× 1.4k 1.9× 1.4k 3.1× 75 0.2× 117 4.9k
Yudong Chen China 29 1.0k 0.4× 391 0.4× 1.2k 1.6× 261 0.6× 78 0.2× 143 4.5k
Min Wang China 34 1.4k 0.6× 314 0.3× 843 1.1× 1.3k 2.8× 80 0.2× 205 3.5k
Robert Jenssen Norway 31 1.3k 0.5× 258 0.3× 1.2k 1.6× 841 1.9× 66 0.2× 123 3.6k

Countries citing papers authored by A. Khotanzad

Since Specialization
Citations

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

Fields of papers citing papers by A. Khotanzad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Khotanzad

This figure shows the co-authorship network connecting the top 25 collaborators of A. Khotanzad. A scholar is included among the top collaborators of A. Khotanzad 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 A. Khotanzad. A. Khotanzad 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.
2.
Khotanzad, A., et al.. (2004). K-factor Gegenbauer ARMA process for network traffic simulation. 963–968 Vol.2. 8 indexed citations
3.
Khotanzad, A., et al.. (2004). ATM dynamic bandwidth allocation using F-ARIMA prediction model. 359–363. 18 indexed citations
4.
Khotanzad, A. & Hassan M. Elragal. (2003). Natural gas load forecasting with combination of adaptive neural networks. 6. 4069–4072. 29 indexed citations
5.
Khotanzad, A., et al.. (2003). Object recognition using a neural network and invariant Zernike features. 200–205. 4 indexed citations
6.
Khotanzad, A., et al.. (2002). A Neuro-Fuzzy Approach to Short-Term Load Forecasting in a Price-Sensitive Environment. IEEE Power Engineering Review. 22(9). 55–55. 7 indexed citations
7.
Khotanzad, A., et al.. (2000). Combination of artificial neural-network forecasters for prediction of natural gas consumption. IEEE Transactions on Neural Networks. 11(2). 464–473. 121 indexed citations
8.
Khotanzad, A., et al.. (1999). A spatial correlation based method for neighbor set selection in random field image models. IEEE Transactions on Image Processing. 8(5). 734–740. 7 indexed citations
9.
Khotanzad, A. & Caroline Chung. (1998). Application of multi-layer perceptron neural networks to vision problems. Neural Computing and Applications. 7(3). 249–259. 19 indexed citations
10.
Khotanzad, A., et al.. (1997). ANNSTLF-a neural-network-based electric load forecasting system. IEEE Transactions on Neural Networks. 8(4). 835–846. 182 indexed citations
11.
Davis, Mark H., A. Khotanzad, D P Flamig, & S E Harms. (1997). A physics-based coordinate transformation for 3-D image matching. IEEE Transactions on Medical Imaging. 16(3). 317–328. 185 indexed citations
12.
Khotanzad, A., et al.. (1996). Segmentation of Color Maps Using Eigenvector Line-Fitting Techniques. Color and Imaging Conference. 4(1). 129–133. 2 indexed citations
13.
Khotanzad, A., et al.. (1995). A constraint learning feedback dynamic model for stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17(11). 1095–1100. 1 indexed citations
14.
Davila, C.E., A. Abaye, & A. Khotanzad. (1994). Estimation of single sweep steady-state visual evoked potentials by adaptive line enhancement. IEEE Transactions on Biomedical Engineering. 41(2). 197–200. 24 indexed citations
15.
Khotanzad, A., et al.. (1993). Stereopsis by constraint learning feed-forward neural networks. IEEE Transactions on Neural Networks. 4(2). 332–342. 17 indexed citations
16.
Khotanzad, A., et al.. (1990). Stereopsis by a Neural Network Which Learns the Constraints. Neural Information Processing Systems. 3. 327–334. 1 indexed citations
17.
Khotanzad, A., et al.. (1990). Image segmentation by a parallel, non-parametric histogram based clustering algorithm. Pattern Recognition. 23(9). 961–973. 52 indexed citations
18.
Khotanzad, A., et al.. (1990). Classification of invariant image representations using a neural network. IEEE Transactions on Acoustics Speech and Signal Processing. 38(6). 1028–1038. 236 indexed citations
19.
Khotanzad, A., et al.. (1989). Unsupervised segmentation of textured images by edge detection in multidimensional feature. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11(4). 414–421. 38 indexed citations
20.
Kashyap, R.L., Rama Chellappa, & A. Khotanzad. (1982). Texture classification using features derived from random field models. Pattern Recognition Letters. 1(1). 43–50. 68 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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