Charles Knessl

1.8k total citations
171 papers, 1.2k citations indexed

About

Charles Knessl is a scholar working on Management Information Systems, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Charles Knessl has authored 171 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Management Information Systems, 58 papers in Management Science and Operations Research and 54 papers in Statistics and Probability. Recurrent topics in Charles Knessl's work include Advanced Queuing Theory Analysis (99 papers), Random Matrices and Applications (51 papers) and Probability and Risk Models (46 papers). Charles Knessl is often cited by papers focused on Advanced Queuing Theory Analysis (99 papers), Random Matrices and Applications (51 papers) and Probability and Risk Models (46 papers). Charles Knessl collaborates with scholars based in United States, Israel and Netherlands. Charles Knessl's co-authors include Charles Tier, B. J. Matkowsky, Z. Schuss, Wojciech Szpankowski, Joseph B. Keller, Yongzhi Yang, J. A. Morrison, Johan S. H. van Leeuwaarden, M. Mangel and Mark W. Coffey and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

In The Last Decade

Charles Knessl

157 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Knessl United States 18 618 309 294 234 188 171 1.2k
Erik A. van Doorn Netherlands 21 627 1.0× 278 0.9× 186 0.6× 467 2.0× 411 2.2× 80 1.3k
Leopold Flatto United States 19 391 0.6× 170 0.6× 329 1.1× 138 0.6× 409 2.2× 74 1.3k
Alexander Zeifman Russia 17 589 1.0× 383 1.2× 91 0.3× 372 1.6× 249 1.3× 122 957
Amarjit Budhiraja United States 21 241 0.4× 211 0.7× 130 0.4× 226 1.0× 281 1.5× 93 1.4k
Gerald S. Shedler United States 19 498 0.8× 471 1.5× 378 1.3× 175 0.7× 47 0.3× 55 1.6k
Sergey Foss Russia 23 602 1.0× 827 2.7× 485 1.6× 504 2.2× 450 2.4× 108 1.9k
Neil O’Connell United Kingdom 21 430 0.7× 213 0.7× 483 1.6× 778 3.3× 703 3.7× 71 1.7k
Walter L. Smith United States 17 483 0.8× 468 1.5× 177 0.6× 472 2.0× 504 2.7× 46 2.1k
Stephen M. Samuels United States 17 89 0.1× 424 1.4× 378 1.3× 223 1.0× 134 0.7× 39 1.3k
Torgny Lindvall Sweden 14 181 0.3× 273 0.9× 111 0.4× 534 2.3× 633 3.4× 35 1.3k

Countries citing papers authored by Charles Knessl

Since Specialization
Citations

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

Fields of papers citing papers by Charles Knessl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Knessl

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Knessl. A scholar is included among the top collaborators of Charles Knessl 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 Charles Knessl. Charles Knessl 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.
Knessl, Charles, et al.. (2016). Asymptotic Analysis of a Storage Allocation Model with Finite Capacity: Joint Distribution. SHILAP Revista de lepidopterología. 2016. 1–56. 1 indexed citations
2.
Knessl, Charles, et al.. (2013). On finite capacity queues with time dependent arrival rates. Stochastic Processes and their Applications. 123(6). 2175–2227. 6 indexed citations
3.
Knessl, Charles, et al.. (2011). An explicit solution to the chessboard pebbling problem. The Journal of Difference Equations and Applications. 19(2). 201–208.
4.
Knessl, Charles, et al.. (2011). On the Finite Capacity Shortest Queue Problem. 2(1). 1–34. 5 indexed citations
5.
Leeuwaarden, Johan S. H. van & Charles Knessl. (2011). Transient behavior of the Halfin–Whitt diffusion. Stochastic Processes and their Applications. 121(7). 1524–1545. 9 indexed citations
6.
Xu, Miao & Charles Knessl. (2011). On a free boundary problem for an American put option under the CEV process. Applied Mathematics Letters. 24(7). 1191–1198. 7 indexed citations
7.
Knessl, Charles, et al.. (2008). The distribution of wasted spaces in the M/M/∞ queue with ranked servers. Advances in Applied Probability. 40(3). 835–855. 6 indexed citations
8.
Knessl, Charles, et al.. (2008). The distribution of wasted spaces in the M/M/∞ queue with ranked servers. Advances in Applied Probability. 40(3). 835–855. 3 indexed citations
9.
Knessl, Charles, et al.. (2007). A simple direct solution to a storage allocation model. Applied Mathematics Letters. 21(2). 172–175. 7 indexed citations
10.
Knessl, Charles. (2007). On the number of reachable configurations for the chessboard pebbling problem. Mathematical and Computer Modelling. 47(1-2). 127–139. 1 indexed citations
11.
Knessl, Charles & John A. Morrison. (2005). Blocking Probabilities for an Underloaded or Overloaded Link with Trunk Reservation. SIAM Journal on Applied Mathematics. 66(1). 82–97. 4 indexed citations
12.
Knessl, Charles, et al.. (2004). A small elliptic perturbation of a backward-forward parabolic problem with applications to stochastic models. Applied Mathematics Letters. 17(5). 535–542. 1 indexed citations
13.
Knessl, Charles & Wojciech Szpankowski. (2002). The height of a binary search tree: the limiting distribution perspective. Theoretical Computer Science. 289(1). 649–703. 3 indexed citations
14.
Knessl, Charles & Wojciech Szpankowski. (2002). Limit laws for the height in PATRICIA tries. Journal of Algorithms. 44(1). 63–97. 6 indexed citations
15.
Knessl, Charles & Wojciech Szpankowski. (2000). Height in a digital search tree and the longest phrase of the Lempel-Ziv scheme. Symposium on Discrete Algorithms. 187–196. 1 indexed citations
16.
Knessl, Charles. (2000). Asymptotic expansions for a stochastic model of queue storage. The Annals of Applied Probability. 10(2). 9 indexed citations
17.
Knessl, Charles. (1998). Integral representations and asymptotic expansions for Shannon and Renyi entropies. Applied Mathematics Letters. 11(2). 69–74. 31 indexed citations
18.
Keller, Joseph B. & Charles Knessl. (1993). Asymptotic evaluation of oscillatory sums. European Journal of Applied Mathematics. 4(4). 361–379. 2 indexed citations
19.
Knessl, Charles & Joseph B. Keller. (1991). Stirling Number Asymptotics from Recursion Equations Using the Ray Method. Studies in Applied Mathematics. 84(1). 43–56. 8 indexed citations
20.
Knessl, Charles, B. J. Matkowsky, Z. Schuss, & Charles Tier. (1988). A state dependent M/M/1 queue: a production-inventory model. Applied Mathematics Letters. 1(3). 235–239. 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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